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Sponsored Projects

Ongoing Research Grants

  • NSF EECS-2024058 CCSS: Block-term Tensor Tools for Multi-aspect Sensing and Analysis (2020-2023). Sole PI

  • NSF III-2007836: Small: Labeling Massive Data from Noisy, Incomplete and Crowdsourced Annotations (2020-2023). Sole PI

  • NSF/Intel MLWiNS: CNS-2003082: Collaborative Research: MLWiNS: ANN for Interference Limited Wireless Networks (2020-2023). PI; this is collaborative research with Dongning Guo (NU; CNS-2003098) and Mingyi Hong (UMN; CNS-2003033).

    • studies deep learning based sensing, estimation, and communication techniques.

  • NSF III-1910118: III: Small: Statistical Low-Rank Factorization Tools for Ecological Network Link Prediction (2019-2022). CoPI; this is collaborative research with Rebecca Hutchinson.

    • studies matrix/tensor factorization techniques for ecological network prediction and analysis.

  • ARO W911NF-19-1-0407: Geometric Factorization Tools for Community Mining (2019-2022). OSU PI; collaborative research with University of Virginia (Nikos Sidiropoulos) of and University Washington (Zack Almquist).

  • ARO W911NF-19-1-0247: Multi-Aspect Intelligence Fusion and Analytics: Models, Identifiability, and Computation (2019-2022): OSU PI; this is collaborative research with University of Minnesota (Mingyi Hong).

  • NSF ECCS 1808159: Collaborative Research: Multimodal Sensing and Analytics at Scale: Algorithms and Applications (2018-2021). PI; this is collaborative research with University of Virginia (N. D. Sidiropoulos).

Past Research Grants

  • NSF ECCS 1608961: Robust and Scalable Volume Minimization-Based Matrix Factorization for Sensing and Clustering (2016-2019). OSU PI; this is collaborative research with University of Virginia (N. D. Sidiropoulos).

  • Digital Technology Initiative at Univ. Minnesota (DTI2016): Anchor-Free Correlated Topic Modeling. PI: N.D. Sidiropoulos, co-PI: X. Fu.